Raptor by Ibexa Features

Monitor the behavior of website and online store visitors

Ability to target website visitors based on behavioral patterns

Adapt the selling process to each visitor, including content and pricing

Provide a library of templates for various purposes such as website engagement or e-commerce

Allows users to customize templates and use them on multiple channels easily

Track the performance of different versions of templates and suggest optimizations

Recommend products based on order history and online behavior

Provide custom content to website visitors based on their online behavior

Deliver messages targeted at buyers who are about to leave an online store

Optimize search based on the role of the user or inventory availability

Machine learning or artificial intelligence that powers the personalization features of the platform.

Tools to automatically recommend products to a customer based on their viewing or purchasing history.

The ability to test various configurations and recommendations to determine which are most successful with customers.

Tools to create personalized messaging based on customer data collected from purchases or viewing history.

Integrate personalized content and recommendations on websites

Define customized email templates which are sent automatically

Include personalization features that are mobile-friendly and responsive

Provides native A/B testing for content and campaigns.

Allows users to build and analyze customer profiles.

Presents messaging depending on customer behavior.

Presents messaging depending on customer context.

Content triggered by customer's given geolocation.

Emails triggered by customer activity or behavior.

Messages triggered by customer activity or behavior.

Provides recommendations based on customer metrics.

Calculates and presents customized discounts.

Personalizes web experiences and presented content based on customer metrics.

Uses external data sources to improve customer profiles.

Can be updated to accept new sources and types of data.

Can act as a content marketing platform.

Can engage with customers across any device with a consistent message.

Create and send email blasts/campaigns

Coordinate marketing efforts across channels (email, landing pages, social media, etc.)

Receive data and information in real time

Provides analysis of marketing program ROI and efficiency.

Predicts outcomes based on statistical models; can give insight to "what-if" scenarios.

Uses artificial intelligence to provide suggestions based on desired outcomes.

The ability to create and customize marketing campaigns based on user data.

Easily digestible visual representations of data collected by the platform.

Data collected from customers to be analyzed by analytics tools or other e-commerce software.

The ability to integrate with a variety of e-commerce software platforms in order to share data and other functionality.

The ability to analyze and visually represent relevant data collected from an e-commerce store and e-merchandising tool.

Data collected from customers that can be used to better refine merchandising efforts to entice similar customers.

Products recommended to customers based on their purchasing or viewing history.

A search function to help customers easily find products in an online store.

Tools to optimize how product images are represented on the site.

Tools to store and organize product images, videos, and 3D renderings.

Tools to optimize and organize product descriptions and other content published to an online store.

The ability to integrate with a variety of e-commerce software in order to share data and functionality.

A means to display relevant reports and other data in one, easily accessible place.

Analyze and index e-commerce data and define searchable fields

Provide algorithms to provide users with suggested results as they type

Define how product information (attributes, brand, type) can be searched and in what combination

Search for alternative variations of a word to deliver more accurate results

Provide recommendations based on what users are searching for

Monitor conversions of shoppers into buyers due to search features

Allow companies to personalize the search experience for their shoppers

Buyers can refine product searches using filters and product attributes.

Rank search results based on relevance, availability, or popularity

Provide integration with e-commerce platforms and shoppping cart software

Integrate with Product Information Management (PIM) software

Support integration with e-merchadising and similar retail software

Capability to perform complex tasks without constant human input

Works across multiple software systems or databases

Improves performance based on feedback and experience

Engages in human-like conversation for task delegation

Anticipates needs and offers suggestions without prompting

Makes informed choices based on available data and objectives

Capability to perform complex tasks without constant human input

Works across multiple software systems or databases

Improves performance based on feedback and experience

Engages in human-like conversation for task delegation

Anticipates needs and offers suggestions without prompting

Makes informed choices based on available data and objectives

Set up connections to third-party platforms to improve business processes

Engages in human-like conversation for task delegation

Anticipates needs and offers suggestions without prompting

Uses AI to recommend products, content, offers, or experiences based on customer behavior, preferences, and historical interactions.

Uses AI to dentify and build audience segments using customer attributes, behaviors, and engagement data.

Use AI to dynamically adapt content for each visitor using behavioral, contextual, and customer data

A virtual assistant that uses AI to pursue goals and complete tasks on behalf of users

Tracks metrics that provide insight into how a user interacts with any interface or product

Handles digital content throughout its lifecycle, from creation and storage to distribution and archiving

Interact with data visualization elements, such as charts and graphs, to drill down into data

Analyze and gain insights into data in real-time

Track visitors'/audience's responses across web pages and other optimized content

Customize website features

Algorithmically generated suggestions based on user behaviors, preferences, or data patterns to enhance UX, productivity, or engagement

Active reporting of data and metrics

Display advertising and marketing messages to users based on their browsing history and preferences

Provide personalized marketing content

Track and analyze information regarding website visitors

Process of dividing customers into groups based on common characteristics

Record customer information, purchase history, and other notes

Create, save, and re-purpose templates for emails, forms, etc.

Coordinate marketing efforts across channels (email, landing pages, social media, etc.)

Add customized logos and colors to align with company branding

Alerts or notifications of various types such as pop-up messages, sounds, banners, or badges

Application programming interface that allows for integration with other systems/databases

Built-in tool that sends an email invitation to customers who have added an item to their cart but left before completing checkout

Assemble applications and processes by dragging over and arranging pre-built components

Create a collection of marketing actions to complete specific goals and plan and analyze campaign results

Use AI to generate content in the form of text, images, videos, etc.

What You See Is What You Get is a no-code tool that allows users to create and edit content using a visual interface

View and track pertinent metrics to find patterns and gain insights from data

Dashboard to view the status of ongoing processes, identify current incidents and track past activities

Manage multiple campaigns in one system

Group campaigns by project, client, or campaign for better management.

Test multiple versions of emails, forms, content, or other campaign elements to gauge effectiveness

Customize contracts and forms to collect specific information

Create and send email blasts/campaigns

Tracks metrics that provide insight into how a user interacts with any interface or product

Manage, organize, and store contact information

Visualize and analyze customer experience across all touchpoints and channels

Use AI to generate content in the form of text, images, videos, etc.

Application programming interface that allows for integration with other systems/databases

Test multiple versions of emails, forms, content, or other campaign elements to gauge effectiveness

Manage the process of attracting and converting business prospects into leads

Combining data from different sources and providing a unified view

A report showing what actions customers perform

Dashboard to view the status of ongoing processes, identify current incidents and track past activities

Track and document all activities across devices, networks, and other systems

Group campaigns by project, client, or campaign for better management.

Automatically identify and save contact information of potential customers

Centralized database of stakeholders and their contact information such as names, address, phone number etc.

Create a collection of marketing actions to complete specific goals and plan and analyze campaign results

Track visitors'/audience's responses across web pages and other optimized content

Analyze and gain insights into data in real-time

Manage, store and organize emails within the system or via third-party apps

Score a lead on their quality or likelihood to buy based on certain behaviors

Collection, analysis, and representation of numerical data and generation of reports to understand various patterns

Create, save, and re-purpose templates for emails, forms, etc.

Alerts or notifications of various types such as pop-up messages, sounds, banners, or badges

Predict future data based on historical data sets

Gauge satisfaction and receive information for improvement and success

Adjust communications based on previous interactions or personal preferences

Plan and strategize marketing campaigns

Set up connections to third-party platforms to improve business processes

Track and analyse user behavior within a system or network

Track delivered, received, and opened emails

Track and interpret campaign performance metrics

Process of dividing customers into groups based on common characteristics

Allows communication with customers or users via multiple channels such as phone, email, live chat, etc.

Store information about leads or contacts and track, manage and nurture them throughout the sales process

Manage various distribution channels, build relations with channel partners, and track their performance

A virtual assistant that uses AI to pursue goals and complete tasks on behalf of users

Identify a particular segment of population based on specific criteria and customize your efforts to attract their attention

Ensure compliance with the General Data Protection Regulation protocols

Record customer information, purchase history, and other notes

A collection of customer information such as contact details, demographics, previous interactions, etc.

Allows users to manage data from a number of sources

Predefined actions automatically performed on the occurance of specific events

Attach digital tags to documents and assets for identification, search, or monitoring purposes

Pre-designed layouts that can be customized to match preferences and requirements